Python for Industry 4.0
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4:01:10
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1. Welcome to the course.mp4
02:35
2. Introduce yourself.mp4
00:46
3.1 python for industry40 code.zip
3. Download the content.mp4
00:22
1. Introduction.mp4
00:31
2. Why Python.mp4
02:01
3. Google Colab.mp4
15:02
4. Operations.mp4
02:01
5. Declaring a variable.mp4
02:05
6. Print.mp4
02:40
7. String.mp4
00:22
8. List.mp4
04:49
9. Logical operations.mp4
03:44
10. If.mp4
04:00
11. For loop.mp4
01:16
12. Functions.mp4
03:19
13. Exercises overview.mp4
04:38
14. Methods.mp4
02:24
15. Dictionary.mp4
03:31
16. Exercises solution.mp4
09:30
1. Introduction.mp4
00:48
2. Numpy Array.mp4
11:16
3. Numpy Operations.mp4
05:41
4. Pandas Series and DataFrame.mp4
08:11
5. Pandas - Selecting data.mp4
15:14
6. Pandas - Loading data.mp4
13:00
7. Pandas - Time series.mp4
09:14
8. Pandas - Missing data.mp4
05:42
9. Exercises overview.mp4
04:58
10. Exercises solution.mp4
22:15
1. Introduction.mp4
00:54
2. Matplotlib.mp4
13:59
3. Visualization with Pandas.mp4
11:51
4. Seaborn.mp4
17:26
5. Plotly.mp4
12:53
6. Exercises overview.mp4
02:38
7. Exercises solution.mp4
10:08
1. Introduction.mp4
00:54
2. Project 1 - Overall Equipment Effectiveness Calculation.mp4
03:00
3. Project 2 - Control Loop Performance Monitoring.mp4
02:58
1. More to explore.mp4
01:57
2. You made it.mp4
00:37
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Udemy
View courses UdemyStudents take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
- language english
- Training sessions 41
- duration 4:01:10
- English subtitles has
- Release Date 2024/05/24
